Add to ORKGIn the lending industry, investors provide loans to borrowers in exchange for the promise of repayment with interest. If the borrower repays the loan, then the lender would make profit from the interest. However, if the borrower fails to repay the loan, then the lender loses money. Therefore, lenders face the problem of predicting the risk of a borrower being unable to repay a loan. In this study, the data from Lending club is used to train several Machine Learning models to determine if the borrower has the ability to repay its loan. In addition, we would analyze the performance of the models
Credit risk assessment plays a key role for correctly supporting financial institutes in defining th...
Estimating default risk has been a major challenge in credit-risk analysis. Financial institutions a...
This master thesis explore the potential of Machine Learning techniques in predicting default of veh...
In the lending industry, investors provide loans to borrowers in exchange for the promise of repayme...
Loans play a crucial role in the financial industry, and predicting the likelihood of a borrower's a...
Loans account for a huge chunk of bank profits. Even though many individuals are looking for loans. ...
Giving credit is one of the core businesses in banking and the importance of credit risk management ...
Machine Learning (ML) uses statistics to find patterns in high dimensional data. The Swedish Board o...
As the loan is one of the most important products of banking and financial companies who have intere...
Financial institutions use a variety of methodologies to define their commercial and strategic polic...
In Todays world, most of world population has access to banking services. Consumers has increased ma...
We compare the performances of a wide set of regression techniques and machine learning algorithms f...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Although there are various items that banking systems can sell to make money, their primary source o...
In this paper we explore how predictive modelling can be applied in loan default prediction. The iss...
Credit risk assessment plays a key role for correctly supporting financial institutes in defining th...
Estimating default risk has been a major challenge in credit-risk analysis. Financial institutions a...
This master thesis explore the potential of Machine Learning techniques in predicting default of veh...
In the lending industry, investors provide loans to borrowers in exchange for the promise of repayme...
Loans play a crucial role in the financial industry, and predicting the likelihood of a borrower's a...
Loans account for a huge chunk of bank profits. Even though many individuals are looking for loans. ...
Giving credit is one of the core businesses in banking and the importance of credit risk management ...
Machine Learning (ML) uses statistics to find patterns in high dimensional data. The Swedish Board o...
As the loan is one of the most important products of banking and financial companies who have intere...
Financial institutions use a variety of methodologies to define their commercial and strategic polic...
In Todays world, most of world population has access to banking services. Consumers has increased ma...
We compare the performances of a wide set of regression techniques and machine learning algorithms f...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Although there are various items that banking systems can sell to make money, their primary source o...
In this paper we explore how predictive modelling can be applied in loan default prediction. The iss...
Credit risk assessment plays a key role for correctly supporting financial institutes in defining th...
Estimating default risk has been a major challenge in credit-risk analysis. Financial institutions a...
This master thesis explore the potential of Machine Learning techniques in predicting default of veh...